Algorithms Based on Hierarchical Clustering for Theses Similarity Retrieval
Xin Li · Microcomputer Information · 2007
The growing number of theses accessible on the web raises a new and challenging search problem:locating desired theses.Traditional keyword search is insufficient:the specific thesis users require is possible not captured.We describe the algorithms of hier-archical clustering.With this algorithm,we clustering the keywords into a concept tree,then we turn every thesis into an induced tree.we propose a new method for theses retrieval,which based on concept similarity.This method improves in recall and precision.